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Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding



Tianyang Hu , Zhili Liu , Fengwei Zhou , Wenjia Wang , Weiran Huang


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Towards the Generalization of Contrastive Self-Supervised Learning



Weiran Huang , Mingyang Yi , Xuyang Zhao


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Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis



Jiaye Teng , Weiran Huang


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Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method



Fuli Feng , Weiran Huang , Xin Xin , Xiangnan He , Tat-Seng Chua


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New Interpretations of Normalization Methods in Deep Learning



Jiacheng Sun , Xiangyong Cao , Hanwen Liang , Weiran Huang , Zewei Chen , Zhenguo Li

* Accepted by AAAI 2020 

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Locally Differentially Private (Contextual) Bandits Learning



Kai Zheng , Tianle Cai , Weiran Huang , Zhenguo Li , Liwei Wang

* 19 pages 

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Boosting Few-Shot Learning With Adaptive Margin Loss



Aoxue Li , Weiran Huang , Xu Lan , Jiashi Feng , Zhenguo Li , Liwei Wang

* Accepted by CVPR 2020 

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Meta-Learning PAC-Bayes Priors in Model Averaging



Yimin Huang , Weiran Huang , Liang Li , Zhenguo Li

* Accepted by AAAI 2020 

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GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction



Fenyu Hu , Yanqiao Zhu , Shu Wu , Weiran Huang , Liang Wang , Tieniu Tan

* 8 pages, in submission to IEEE Transactions on Knowledge and Data Engineering 

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